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- W2743173850 abstract "Recent years have witnessed a proliferation of large scale distributed systems that manage massive amounts of data at diverse geographic locations. In such systems, the overall system performance can be significantly affected by the round-trip time between computing nodes. Thus, efficiently and accurately measuring or estimating network latency is a key requirement. A variety of distributed systems also have been replicating either data or computation so that any one of these data or computation replicas can be used, thereby improving both performance and availability. A crucial challenge in such a context is to determine the locations to place replicas. This dissertation presents techniques that have been developed to tackle the challenges mentioned above. The first technique assigns multi-dimensional coordinates to nodes such that the distance between any nodes in the coordinate space is close to the actual round-trip time between the nodes. Our evaluation results demonstrate that this technique can effectively cope with network latency variations significantly outperforming previous techniques. The second technique presented in this dissertation summarizes with low overhead user populations that access data replicas based on the aforementioned network coordinates. By continually migrating data replicas near the centroid of major user populations, this technique can effectively reduce the overall data access delay. The third technique determines, given a network of processing elements, the locations of the processing elements so that the overall processing time is minimized." @default.
- W2743173850 created "2017-08-17" @default.
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- W2743173850 date "2011-01-01" @default.
- W2743173850 modified "2023-09-23" @default.
- W2743173850 title "Distributed replica placement with network coordinates" @default.
- W2743173850 hasPublicationYear "2011" @default.
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